README for Replication Data for: LASSOing the Governor�s Mansion: A Machine Learning Approach to Forecasting Gubernatorial ElectionsThese replication materials are for analysis in Stata 18 or newer. The following addon packages are requires:LASSOPACK (using lasso2 selection via EBIC) SPOST 13CV_RegressThe graph styles are from schemepackThe replication materials utilize two data files:�full data gov.dta� contains the training data used to train and test the model. "2022 results data.dta" contains model results for the 2022 races, actual results, and predictions from the 538 and Cook PVI forecasts. Values and tables in Appendices 1 and 2 of the supplemental materials are from Singer (2023) and are reproduced, along with a link to the original source, for the reader's convenience (https://doi.org/10.7910/DVN/I6VZ9Y)Replication Stata do file:LCS gov forecasting.do replicates the results and figures. LCS gov forecasting.scml is a log file showing the results of running the above do file. Figures in the article were minimally edited after being generated for formatting and display purposes.